Algorithmic trading, also called automated trading, black-box trading, or algo trading, is the use of electronic platforms for entering trading orders with an algorithm which executes pre-programmed trading instructions whose variables may include timing, price, or quantity of the order, or in many cases initiating the order by a system, without human intervention. Algorithmic trading is widely used by investment banks, pension funds, mutual funds, and other buy-side (investor-driven) institutional traders, to divide large trades into several smaller trades to manage market impact and risk. Sell side traders, such as market makers and some hedge funds, provide liquidity to the market, generating and executing orders automatically.
The image on the left is from a specialized trading environment not commonly available to most traders and plots financial time series data in 3D space over the time dimension (i.e. 4D space). Credience stands out from other software firms because of our unique and original approach uses PhD-level mathematics and computer science to undergo higher dimensional technical analysis. In a nutshell, we map financial markets into higher dimensional spaces to more easily calculate precisely when to enter a trade and precisely when to exit a trade to maximize profits whilst minimizing losses. To contrast this with what many other traders see, they see financial patterns similar to the image on the right.
We program large scale massively parallel super computers to stress test our hundreds of proprietary trading models. +70% of trading is now done by machines. Don't get left behind.